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Featured: Women in Tech Global Conference 2026 Virtual-first
Fri, 12/19/2025 - 23:58

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Women in Tech Conference

12-15 May 2026
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  1. Speaker
  2. Reema
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WOMEN IN TECH GLOBAL CONFERENCE 2026

Reema Gupta

Sales Engineering Leader at Apple

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"AI in Sales Engineering - A pragmatic approach for Sales centric AI/LLM implementation"

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Session: AI in Sales Engineering - A pragmatic approach for Sales centric AI/LLM implementation

This session provides a pragmatic, revenue-focused roadmap for implementing AI & LLMs within Sales Engineering (SE) organizations. Session will introduce a sales-centric framework for prioritizing AI use cases such as using an LLM as a "Shadow SE" to instantly synthesize technical documentation for RFPs and personalize demo scripts. Session will highlight the challenges & pain points from an early adopter perspective. Finally session will elaborate some of the low hanging fruits in delivering & implementing AI/LLM that maximizes the values.

Attendees will learn actionable strategies for reliable deployment, maximizing the Return on Effort (ROE) of AI investments and ensuring necessary data governance to keep the SE function focused on accelerating the sales cycle, with measurable revenue growth.


Key Takeaways

  • Focus AI implementation on maximizing SE time by Automating non-sales tasks (RFP, documentation) to increase strategic customer engagement
  • How to deploy LLMs as a "Shadow SE" by creating an intelligent assistant trained on proprietary data for instant, reliable, pre-sales support
  • Appreciate that governance dictates scale and thus Implement early frameworks for data privacy and model accuracy for trust & long-term adoption


Bio

Reema Gupta is a strategic technology leader with 25+ years of experience specializing in global Data Engineering, Data Warehousing & Advanced Analytics.

She architects and executes scalable data platforms (AWS, Azure, Snowflake) to deliver high-impact BI, regulatory compliance analytics and advanced predictive AI/ML models (Python/R). Her expertise covers the full data lifecycle, from building global teams and orchestrating complex M&A integrations to driving strategic technical vision.

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